The research from a four-year project of implied orders tailored testing is summarized. The method of implied orders testing combines the principles of ordinal measurement with the concept of the Guttman scale as an ideal. The basic principle for dichotomous items is that either an item is missed and "dominates" a person or it is answered correctly and the person "dominates" the item. From the persons-by-items matrices, it is possible to compute a single ordered dimension for both persons and items. In a tailored testing context with an incomplete data matrix, it is possible to compute the implied order for the missing data. These procedures have been applied to both group and individual testing situations and to Monte Carlo and other simulations as well as to data generated by human subjects. The research includes the production of computer programs for tailored testing, contributions to test theory from an ordinal perspective, and a pattern for research on all types of tailored testing. Recommendations for additional research projects are included. (Author/CTM)